Lancedb

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LanceDB is an open-source embedded retrieval library for multimodal AI. It offers fast, scalable vector search and data management for AI/ML applications, supporting various data types and integrations.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is lancedb?

LanceDB is a developer-friendly, open-source embedded retrieval library designed for multimodal AI applications. Built on the Lance columnar format, it provides fast, scalable, and production-ready vector search capabilities, allowing users to store, index, and search petabytes of multimodal data and vectors. It supports comprehensive search including vector similarity, full-text, and SQL, along with advanced features like zero-copy and automatic versioning. LanceDB runs locally or in the cloud, offering complete data sovereignty. It integrates seamlessly with popular AI/ML frameworks like LangChain and LlamaIndex, and provides SDKs for Python, Node.js, and Rust, making it a central platform for building, training, and analyzing AI workloads.

Best used for

Ideal for developers and data scientists who need to build scalable AI/ML applications, manage large-scale vector databases, and perform fast multimodal data searches. Especially valuable for those requiring seamless integration with popular AI frameworks and flexible deployment options.

Common actions

manage vector databases

perform vector search

integrate AI models

handle multimodal data

build AI applications

"AI Agents"github copilotlow-code/no-codecollaborationautomated workflowworkflowsface swappingopen-sourcedeepfake

Capabilities

Key features

Fast vector search
Multimodal data support
Comprehensive search (vector, full-text, SQL)
Automatic versioning
GPU support
Zero-copy architecture
Python, Node.js, Rust SDKs

Target Audience

developerdata scientist

Integrations

langchainllamaindexapache-arrowpandaspolarsduckdb

Pricing & Plans

Open Source

Free

FAQs

What kind of data can LanceDB store and search?

LanceDB is designed for multimodal data, meaning it can store, query, and filter vectors, metadata, and various data types such as text, images, videos, and point clouds. This makes it suitable for diverse AI/ML applications.

Does LanceDB support different programming languages?

Yes, LanceDB offers native SDKs for Python, Node.js (JavaScript/TypeScript), and Rust. It also provides a REST API, allowing for broad integration into various development environments and workflows.

Can LanceDB be used for both local development and production environments?

LanceDB is 100% open source and can run locally, making it ideal for development and testing. For production-scale vector search, it offers cloud and enterprise solutions with no servers to manage, ensuring complete data sovereignty and security.

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Also listed in

This tool also appears in

Data & Analytics › Data Pipelines & Integration Coding & Development › Database & SQL

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